name : Anteneh Tilaye
role : Software Engineer, Lecturer, AI/ML Researcher
location : Ethiopia
work : full-stack systems, APIs, academic platforms, research software
research : computer vision, intelligent systems, mobile robot navigation
graphics : Three.js, WebGL, realtime browser interfaces
current : PyTorch internals, AI systems, software architecture
I am a software engineer and university lecturer with a background in software engineering, computer science, and applied AI.
My MSc research focused on object detection for mobile robot navigation in dynamic indoor environments. My software work includes full-stack systems, APIs, academic platforms, data products, computer vision, and realtime 3D browser interfaces.
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Digital menu product work built with Next.js, React, TypeScript, and Vercel.
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Django REST API for retrieving author publications from Google Scholar and Semantic Scholar.
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Store-sales forecasting project with feature engineering, model development, tests, dashboards, and MLOps tooling.
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Telecom analysis covering customer engagement, network experience, satisfaction, and usage patterns.
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Interface work for university scheduling and academic planning.
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PHP MVC application with controllers, models, migrations, validation, and deployment support.
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The following work is private, organization-owned, deployed elsewhere, or not represented by a public repository.
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Capstone coordination and evaluation system for university departments. Covers project registration, advising, rubrics, submissions, examinations, grading, and reporting. |
React and Django REST Framework application work, including technical leadership and production development. |
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Three.js and WebGL development for realtime browser interfaces, including a betting-game interface similar to Keno. |
Object detection for mobile robot navigation in dynamic indoor environments. |
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Realtime communication and application development across web and mobile stacks. |
Application and data workflows using PostGIS, spatial data, QGIS, and related GIS tooling. |
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Computer vision Object detection, visual perception, and applied vision systems. |
Deep learning systems PyTorch internals, model execution, training systems, and performance. |
Robotics Perception and software for autonomous and mobile systems. |
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Software architecture Backend design, APIs, data models, and maintainable application structure. |
3D web Three.js, WebGL, realtime interfaces, and browser graphics. |
Applied systems Academic, government, and operational information systems. |
I teach programming and software engineering and supervise student projects. Teaching keeps the fundamentals close to my day-to-day engineering work and has made clear technical explanation part of how I design and review software.
For software engineering, research collaboration, AI/ML work, or technical project discussions: